Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

scTab: Scaling cross-tissue single-cell annotation models
Felix Fischer, David S. Fischer, R. S. Mukhin, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data
Shibla Abdulla, Brian D. Aevermann, Pedro Assis, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D886-D900
Open Access | Times Cited: 21
Gene expression patterns of the developing human face at single cell resolution reveal cell type contributions to normal facial variation and disease risk
Nagham Khouri‐Farah, Emma Wentworth Winchester, Brian M. Schilder, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Consensus representation of multiple cell–cell graphs from gene signaling pathways for cell type annotation
Yu‐An Huang, Yue-Chao Li, Zhu-Hong You, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Consequences of training data composition for deep learning models in single-cell biology
Ajay Nadig, Akshaya Thoutam, Madeline Hughes, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification
Fei He, Ruixin Fei, Mingyue Gao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Deeper evaluation of a single-cell foundation model
Rebecca Boiarsky, Nalini Singh, Alejandro Buendia, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 12, pp. 1443-1446
Closed Access | Times Cited: 2
Delineating the effective use of self-supervised learning in single-cell genomics
Till Richter, Mojtaba Bahrami, Yufan Xia, et al.
Nature Machine Intelligence (2024)
Open Access | Times Cited: 2
A new framework for evaluating model out-of-distribution for the biochemical domain*
Raúl Fernández-Díaz, Thanh Lam Hoang, Vanessa López, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Cellular atlases are unlocking the mysteries of the human body
Itai Yanai, Simon Haas, Christoph Lippert, et al.
Nature (2024) Vol. 635, Iss. 8039, pp. 553-555
Open Access | Times Cited: 1
scPlantFormer: A Lightweight Foundation Model for Plant Single-Cell Omics Analysis
Xiujun Zhang, Jing Xu, Di Chen, et al.
Research Square (Research Square) (2024)
Open Access
BioLLM: A Standardized Framework for Integrating and Benchmarking Single-Cell Foundation Models
Ping Qiu, Qian Qian Chen, Hua Qin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Evaluating the role of pre-training dataset size and diversity on single-cell foundation model performance
Alan DenAdel, Madeline Hughes, Akshaya Thoutam, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Single-Cell Temporal Atlas of Myeloid Cells in the Live Haemorrhagic Brain
Yuki I. Kawamura, Conor W. Johnson, Jonathan H. DeLong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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